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Criterion
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
HighHighLow
Timedifferent
Halber Tag1-4 Wochen1-2 h
Participantsdifferent
5-206-30 Experten2-8
Formatdifferent
WorkshopAsyncWorkshop + async
Outputdifferent
Simulation Notes, Gaps List, Updated RunbooksExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ResilienceOperationsIncident
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Incident Command workspace showing the question, observations, and next decision.
DevOps
Incident Command
Paper illustration for Kepner-Tregoe
Operations
Kepner-Tregoe